
Careers
Build the Future of Enterprise AI
Join a team of engineers, researchers, and builders creating AI systems that power enterprises and governments at scale.
Open Positions
Senior ML Engineer
RemoteFull-timeEngineering
Design and train production ML models for our Septa analytics platform. Experience with LLMs, RAG pipelines, and MLOps required.
Requirements
- 5+ years of experience in machine learning engineering
- Strong proficiency in Python, PyTorch, and TensorFlow
- Experience with LLM fine-tuning, RAG pipelines, and vector databases
- Production MLOps experience (model serving, monitoring, A/B testing)
- Familiarity with distributed training and GPU infrastructure
- Strong understanding of NLP, embeddings, and transformer architectures
Full-Stack Developer
BangaloreFull-timeEngineering
Build end-to-end features across our product suite using Next.js, TypeScript, and Python. Strong API design skills preferred.
Requirements
- 3+ years of full-stack development experience
- Proficiency in TypeScript, React, and Next.js
- Backend experience with Python (FastAPI/Django) or Node.js
- Experience with relational and NoSQL databases
- Strong API design and RESTful/GraphQL knowledge
- Familiarity with cloud platforms (GCP or AWS)
Product Designer
RemoteFull-timeDesign
Shape the user experience for enterprise AI products. Create intuitive interfaces for complex data workflows and voice interactions.
Requirements
- 4+ years of product design experience, preferably in B2B/enterprise
- Strong portfolio demonstrating complex data visualization and dashboard design
- Proficiency in Figma and prototyping tools
- Experience with design systems and component libraries
- Understanding of accessibility standards (WCAG 2.1)
- Ability to translate complex AI concepts into intuitive user flows
DevOps Engineer
BangaloreFull-timeInfrastructure
Manage cloud infrastructure on GCP and AWS. Build CI/CD pipelines, monitoring, and auto-scaling for high-availability AI services.
Requirements
- 3+ years of DevOps/SRE experience
- Strong experience with GCP and/or AWS cloud services
- Proficiency in Kubernetes, Docker, and Terraform
- CI/CD pipeline design (GitHub Actions, Cloud Build)
- Monitoring and observability tools (Prometheus, Grafana, Cloud Monitoring)
- Experience with GPU infrastructure and ML serving platforms

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